renaissance-movie-lens_0
[2026-01-24T23:42:07.489Z] Running test renaissance-movie-lens_0 ...
[2026-01-24T23:42:07.489Z] ===============================================
[2026-01-24T23:42:07.489Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 23:42:06 2026 Epoch Time (ms): 1769298126549
[2026-01-24T23:42:07.489Z] variation: NoOptions
[2026-01-24T23:42:07.489Z] JVM_OPTIONS:
[2026-01-24T23:42:07.489Z] { \
[2026-01-24T23:42:07.489Z] echo ""; echo "TEST SETUP:"; \
[2026-01-24T23:42:07.489Z] echo "Nothing to be done for setup."; \
[2026-01-24T23:42:07.489Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692968649674/renaissance-movie-lens_0"; \
[2026-01-24T23:42:07.489Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692968649674/renaissance-movie-lens_0"; \
[2026-01-24T23:42:07.489Z] echo ""; echo "TESTING:"; \
[2026-01-24T23:42:07.489Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692968649674/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-24T23:42:07.489Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692968649674/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-24T23:42:07.489Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-24T23:42:07.489Z] echo "Nothing to be done for teardown."; \
[2026-01-24T23:42:07.489Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17692968649674/TestTargetResult";
[2026-01-24T23:42:07.489Z]
[2026-01-24T23:42:07.489Z] TEST SETUP:
[2026-01-24T23:42:07.489Z] Nothing to be done for setup.
[2026-01-24T23:42:07.489Z]
[2026-01-24T23:42:07.489Z] TESTING:
[2026-01-24T23:42:07.489Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-24T23:42:07.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17692968649674/renaissance-movie-lens_0/launcher-234206-15521678519147181829/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-24T23:42:07.489Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-24T23:42:07.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-24T23:42:14.258Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-24T23:42:22.436Z] 23:42:22.226 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-24T23:42:25.465Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-24T23:42:25.465Z] Training: 60056, validation: 20285, test: 19854
[2026-01-24T23:42:25.465Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-24T23:42:25.465Z] GC before operation: completed in 121.388 ms, heap usage 251.737 MB -> 75.728 MB.
[2026-01-24T23:42:32.390Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:42:37.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:42:41.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:42:45.198Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:42:47.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:42:49.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:42:51.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:42:52.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:42:52.988Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:42:52.988Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:42:53.945Z] Top recommended movies for user id 72:
[2026-01-24T23:42:53.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:42:53.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:42:53.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:42:53.945Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:42:53.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:42:53.945Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27978.629 ms) ======
[2026-01-24T23:42:53.945Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-24T23:42:53.945Z] GC before operation: completed in 140.451 ms, heap usage 294.824 MB -> 86.561 MB.
[2026-01-24T23:42:57.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:43:00.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:43:03.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:43:06.197Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:43:08.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:43:09.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:43:11.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:43:13.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:43:13.062Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:43:13.062Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:43:14.016Z] Top recommended movies for user id 72:
[2026-01-24T23:43:14.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:43:14.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:43:14.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:43:14.016Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:43:14.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:43:14.016Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19780.662 ms) ======
[2026-01-24T23:43:14.016Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-24T23:43:14.016Z] GC before operation: completed in 128.910 ms, heap usage 422.729 MB -> 88.891 MB.
[2026-01-24T23:43:17.050Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:43:19.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:43:22.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:43:24.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:43:26.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:43:28.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:43:29.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:43:31.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:43:31.691Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:43:31.691Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:43:31.692Z] Top recommended movies for user id 72:
[2026-01-24T23:43:31.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:43:31.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:43:31.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:43:31.692Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:43:31.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:43:31.692Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17856.146 ms) ======
[2026-01-24T23:43:31.692Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-24T23:43:31.692Z] GC before operation: completed in 143.971 ms, heap usage 254.146 MB -> 89.274 MB.
[2026-01-24T23:43:34.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:43:36.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:43:39.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:43:43.529Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:43:49.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:43:51.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:43:51.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:43:51.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:43:51.792Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:43:51.792Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:43:51.792Z] Top recommended movies for user id 72:
[2026-01-24T23:43:51.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:43:51.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:43:51.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:43:51.792Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:43:51.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:43:51.792Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17884.362 ms) ======
[2026-01-24T23:43:51.792Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-24T23:43:51.792Z] GC before operation: completed in 127.696 ms, heap usage 135.185 MB -> 91.069 MB.
[2026-01-24T23:43:52.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:43:54.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:43:57.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:43:59.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:44:01.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:44:03.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:44:04.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:44:06.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:44:06.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:44:06.900Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:44:06.900Z] Top recommended movies for user id 72:
[2026-01-24T23:44:06.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:44:06.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:44:06.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:44:06.900Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:44:06.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:44:06.900Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17585.562 ms) ======
[2026-01-24T23:44:06.900Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-24T23:44:07.859Z] GC before operation: completed in 130.921 ms, heap usage 430.650 MB -> 89.741 MB.
[2026-01-24T23:44:09.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:44:12.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:44:14.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:44:17.881Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:44:18.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:44:19.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:44:21.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:44:22.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:44:22.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:44:22.736Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:44:23.695Z] Top recommended movies for user id 72:
[2026-01-24T23:44:23.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:44:23.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:44:23.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:44:23.695Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:44:23.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:44:23.695Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15823.712 ms) ======
[2026-01-24T23:44:23.695Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-24T23:44:23.695Z] GC before operation: completed in 154.666 ms, heap usage 485.253 MB -> 91.976 MB.
[2026-01-24T23:44:25.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:44:27.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:44:30.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:44:32.627Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:44:33.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:44:35.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:44:36.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:44:37.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:44:38.426Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:44:38.426Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:44:38.426Z] Top recommended movies for user id 72:
[2026-01-24T23:44:38.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:44:38.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:44:38.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:44:38.426Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:44:38.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:44:38.427Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14837.211 ms) ======
[2026-01-24T23:44:38.427Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-24T23:44:38.427Z] GC before operation: completed in 147.193 ms, heap usage 360.503 MB -> 89.952 MB.
[2026-01-24T23:44:41.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:44:43.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:44:45.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:44:47.533Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:44:49.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:44:50.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:44:52.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:44:53.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:44:53.570Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:44:53.570Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:44:53.570Z] Top recommended movies for user id 72:
[2026-01-24T23:44:53.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:44:53.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:44:53.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:44:53.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:44:53.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:44:53.570Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15563.957 ms) ======
[2026-01-24T23:44:53.570Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-24T23:44:54.532Z] GC before operation: completed in 154.630 ms, heap usage 364.209 MB -> 90.211 MB.
[2026-01-24T23:44:56.498Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:44:59.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:45:01.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:45:03.471Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:45:05.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:45:06.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:45:08.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:45:09.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:45:09.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:45:09.320Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:45:09.320Z] Top recommended movies for user id 72:
[2026-01-24T23:45:09.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:45:09.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:45:09.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:45:09.320Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:45:09.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:45:09.320Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15690.714 ms) ======
[2026-01-24T23:45:09.320Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-24T23:45:10.276Z] GC before operation: completed in 141.741 ms, heap usage 537.171 MB -> 93.415 MB.
[2026-01-24T23:45:12.238Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:45:15.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:45:17.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:45:19.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:45:20.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:45:22.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:45:23.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:45:25.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:45:25.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:45:25.059Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:45:25.059Z] Top recommended movies for user id 72:
[2026-01-24T23:45:25.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:45:25.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:45:25.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:45:25.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:45:25.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:45:25.059Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15081.305 ms) ======
[2026-01-24T23:45:25.059Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-24T23:45:25.059Z] GC before operation: completed in 141.605 ms, heap usage 276.386 MB -> 90.131 MB.
[2026-01-24T23:45:28.087Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:45:30.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:45:32.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:45:34.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:45:35.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:45:37.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:45:39.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:45:40.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:45:40.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:45:40.714Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:45:41.669Z] Top recommended movies for user id 72:
[2026-01-24T23:45:41.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:45:41.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:45:41.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:45:41.669Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:45:41.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:45:41.669Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16120.104 ms) ======
[2026-01-24T23:45:41.669Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-24T23:45:41.669Z] GC before operation: completed in 172.431 ms, heap usage 427.404 MB -> 90.041 MB.
[2026-01-24T23:45:43.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:45:46.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:45:48.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:45:50.998Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:45:51.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:45:52.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:45:54.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:45:55.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:45:55.840Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:45:55.840Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:45:55.840Z] Top recommended movies for user id 72:
[2026-01-24T23:45:55.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:45:55.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:45:55.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:45:55.840Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:45:55.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:45:55.840Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14769.043 ms) ======
[2026-01-24T23:45:55.840Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-24T23:45:56.801Z] GC before operation: completed in 141.259 ms, heap usage 422.552 MB -> 90.267 MB.
[2026-01-24T23:45:58.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:46:00.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:46:03.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:46:05.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:46:06.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:46:08.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:46:09.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:46:11.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:46:11.744Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:46:11.744Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:46:11.744Z] Top recommended movies for user id 72:
[2026-01-24T23:46:11.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:46:11.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:46:11.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:46:11.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:46:11.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:46:11.744Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15779.824 ms) ======
[2026-01-24T23:46:11.744Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-24T23:46:12.700Z] GC before operation: completed in 138.566 ms, heap usage 130.974 MB -> 92.508 MB.
[2026-01-24T23:46:14.663Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:46:17.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:46:19.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:46:21.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:46:23.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:46:25.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:46:26.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:46:28.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:46:28.258Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:46:28.258Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:46:28.258Z] Top recommended movies for user id 72:
[2026-01-24T23:46:28.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:46:28.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:46:28.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:46:28.258Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:46:28.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:46:28.258Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15978.317 ms) ======
[2026-01-24T23:46:28.258Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-24T23:46:28.258Z] GC before operation: completed in 149.643 ms, heap usage 426.158 MB -> 90.134 MB.
[2026-01-24T23:46:31.362Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:46:33.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:46:35.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:46:38.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:46:39.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:46:41.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:46:42.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:46:43.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:46:43.177Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:46:44.133Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:46:44.133Z] Top recommended movies for user id 72:
[2026-01-24T23:46:44.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:46:44.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:46:44.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:46:44.134Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:46:44.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:46:44.134Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15397.033 ms) ======
[2026-01-24T23:46:44.134Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-24T23:46:44.134Z] GC before operation: completed in 163.995 ms, heap usage 289.168 MB -> 90.249 MB.
[2026-01-24T23:46:46.099Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:46:49.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:46:51.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:46:53.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:46:54.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:46:55.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:46:57.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:46:58.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:46:58.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:46:58.052Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:46:58.052Z] Top recommended movies for user id 72:
[2026-01-24T23:46:58.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:46:58.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:46:58.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:46:58.052Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:46:58.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:46:58.052Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14391.963 ms) ======
[2026-01-24T23:46:58.052Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-24T23:46:58.052Z] GC before operation: completed in 138.492 ms, heap usage 220.726 MB -> 89.928 MB.
[2026-01-24T23:47:01.073Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:47:03.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:47:05.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:47:08.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:47:09.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:47:10.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:47:12.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:47:12.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:47:14.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:47:14.737Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:47:14.737Z] Top recommended movies for user id 72:
[2026-01-24T23:47:14.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:47:14.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:47:14.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:47:14.737Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:47:14.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:47:14.737Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15231.816 ms) ======
[2026-01-24T23:47:14.737Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-24T23:47:14.737Z] GC before operation: completed in 137.215 ms, heap usage 362.075 MB -> 90.285 MB.
[2026-01-24T23:47:16.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:47:18.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:47:20.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:47:23.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:47:24.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:47:26.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:47:27.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:47:28.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:47:29.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:47:29.549Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:47:29.549Z] Top recommended movies for user id 72:
[2026-01-24T23:47:29.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:47:29.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:47:29.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:47:29.549Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:47:29.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:47:29.549Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15510.462 ms) ======
[2026-01-24T23:47:29.549Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-24T23:47:29.549Z] GC before operation: completed in 152.714 ms, heap usage 409.397 MB -> 90.082 MB.
[2026-01-24T23:47:31.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:47:34.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:47:36.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:47:39.604Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:47:40.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:47:41.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:47:43.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:47:44.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:47:44.439Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:47:45.397Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:47:45.397Z] Top recommended movies for user id 72:
[2026-01-24T23:47:45.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:47:45.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:47:45.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:47:45.397Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:47:45.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:47:45.397Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15554.984 ms) ======
[2026-01-24T23:47:45.397Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-24T23:47:45.397Z] GC before operation: completed in 145.523 ms, heap usage 174.843 MB -> 89.976 MB.
[2026-01-24T23:47:47.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-24T23:47:49.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-24T23:47:51.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-24T23:47:54.444Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-24T23:47:55.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-24T23:47:56.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-24T23:47:57.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-24T23:47:59.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-24T23:47:59.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-24T23:47:59.331Z] The best model improves the baseline by 14.52%.
[2026-01-24T23:47:59.331Z] Top recommended movies for user id 72:
[2026-01-24T23:47:59.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-24T23:47:59.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-24T23:47:59.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-24T23:47:59.331Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-24T23:47:59.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-24T23:47:59.331Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14071.887 ms) ======
[2026-01-24T23:48:00.285Z] -----------------------------------
[2026-01-24T23:48:00.285Z] renaissance-movie-lens_0_PASSED
[2026-01-24T23:48:00.285Z] -----------------------------------
[2026-01-24T23:48:00.285Z]
[2026-01-24T23:48:00.285Z] TEST TEARDOWN:
[2026-01-24T23:48:00.285Z] Nothing to be done for teardown.
[2026-01-24T23:48:00.285Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 23:47:59 2026 Epoch Time (ms): 1769298479645